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Information Re-finding by Context: A Brain Memory Inspired Approach

机译:信息通过上下文重新找到:大脑记忆激发方法

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Re-finding what we have accessed before is a common behavior in real life. Psychological studies show that context under which informal ion was accessed can serve as a powerful cue for information recall. "Finding the. sweet recipe, that I read at the hotel on the trip to Africa last year" is a context-based re-finding request example. Inspired by users' recall characteristics and human memory, we present a context memory model, where each context unit links to the data created/accessed before. Context units are organized in a clustering and associative manner, and evolve dynamically in life cycles. Based on the context memory, we build a recall-by-context query model. Two methods are devised to evaluate context-based recall queries. Our experiments with synthetic and real data show that evaluation exploring the use of context associations can get the best response time.
机译:重新找到我们之前所访问的内容是现实生活中的共同行为。心理学研究表明,获取非正式离子的背景可以作为信息召回的强大提示。 “寻找。甜蜜的食谱,我去年旅行的酒店阅读到非洲”是基于背景的重新找到请求例子。灵感来自用户回忆特性和人为内存,我们呈现了一个上下文存储模型,其中每个上下文单位链接到之前创建/访问的数据。上下文单位以聚类和关联方式组织,并在生命周期中动态发展。基于上下文存储器,我们构建了一个逐个上下文查询模型。设计了两种方法以评估基于上下文的召回查询。我们的合成和实际数据的实验表明,探索使用上下文关联的评估可以获得最好的响应时间。

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